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MiniMax M2.7 RAM 100GB MLX by baa-ai

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MiniMax M2.7 RAM 100GB MLX is an open-source language model by baa-ai. Features: 228.7b LLM, VRAM: 100.4GB, Context: 192K, License: other, LLM Explorer Score: 0.36.

  4-bit Base model:minimaxai/minimax-m... Base model:quantized:minimaxai...   Conversational   Custom code   Minimax   Minimax m2   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-100GB-MLX 

MiniMax M2.7 RAM 100GB MLX Benchmarks

LLME Score: 0.35952
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiniMax M2.7 RAM 100GB MLX (baa-ai/MiniMax-M2.7-RAM-100GB-MLX)
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MiniMax M2.7 RAM 100GB MLX Parameters and Internals

LLM NameMiniMax M2.7 RAM 100GB MLX
Repository 🤗https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-100GB-MLX 
Base Model(s)  MiniMaxAI/MiniMax-M2.7   MiniMaxAI/MiniMax-M2.7
Model Size228.7b
Required VRAM100.4 GB
Updated2026-04-12
Maintainerbaa-ai
Model Typeminimax_m2
Model Files  5.1 GB: 1-of-20   5.3 GB: 2-of-20   5.4 GB: 3-of-20   5.4 GB: 4-of-20   5.1 GB: 5-of-20   5.3 GB: 6-of-20   5.1 GB: 7-of-20   5.4 GB: 8-of-20   5.1 GB: 9-of-20   5.3 GB: 10-of-20   5.4 GB: 11-of-20   5.3 GB: 12-of-20   5.2 GB: 13-of-20   5.2 GB: 14-of-20   5.2 GB: 15-of-20   5.2 GB: 16-of-20   5.2 GB: 17-of-20   5.2 GB: 18-of-20   5.3 GB: 19-of-20   0.7 GB: 20-of-20
Model ArchitectureMiniMaxM2ForCausalLM
Licenseother
Context Length196608
Model Max Length196608
Transformers Version4.46.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size200064
Errorsreplace

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MiniMax M2.5192K / 75.2 GB9265
MiniMax M2.7192K / 75.2 GB7113
MiniMax M2.1192K / 75.2 GB3512
MiniMax M2.7 RAM 90GB MLX192K / 90 GB214
MiniMax M2.7 RAM 120GB MLX192K / 120.1 GB572
MiniMax M2.5 Bf16 Heretic192K / 440 GB200
Note: green Score (e.g. "73.2") means that the model is better than baa-ai/MiniMax-M2.7-RAM-100GB-MLX.

Rank the MiniMax M2.7 RAM 100GB MLX Capabilities

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